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ECCC
2000
59views more  ECCC 2000»
13 years 4 months ago
A Simple Model for Neural Computation with Firing Rates and Firing Correlations
A simple extension of standard neural network models is introduced which provides a model for neural computations that involve both firing rates and firing correlations. Such an ex...
Wolfgang Maass
NIPS
2003
13 years 5 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
ICANN
1997
Springer
13 years 8 months ago
Correlation Coding in Stochastic Neural Networks
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
Raphael Ritz, Terrence J. Sejnowski
NECO
2008
106views more  NECO 2008»
13 years 4 months ago
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
We consider a formal model of stimulus encoding with a circuit consisting of a bank of filters and an ensemble of integrate-and-fire neurons. Such models arise in olfactory system...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
IJCNN
2000
IEEE
13 years 8 months ago
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition
This paper examines the computational role of inhibition as it moves towards balancing concurrent excitation using the biologically-inspired Temporal Noisy-Leaky Integrator (TNLI) ...
Chris Christodoulou, Trevor G. Clarkson, John G. T...